Essentials of Probability and Statistical Inference IV

4 Credits.

Builds on the concepts discussed in 140.646, 140.647 and 140.648 to lay out foundation for both classical and modern theory/methods for drawing statistical inference. Includes classical unbiased estimation, unbiased estimating equations, likelihood and conditional likelihood inference, information theory and other extended topics. Includes mathematical proofs but will not emphasize highly technical details. Provides extended discussions, interpretation of results, and examples for illustration.